Isabelle Guyon

Isabelle Guyon's AcademicInfluence.com Rankings

Isabelle Guyon

Computer Science

#697

World Rank

#718

Historical Rank

Data Science

#21

World Rank

#21

Historical Rank

Machine Learning

#62

World Rank

#62

Historical Rank

Database

#577

World Rank

#605

Historical Rank

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Computer Science

Why Is Isabelle Guyon Influential?

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According to Wikipedia, Isabelle Guyon is a French-born researcher in machine learning known for her work on support-vector machines, artificial neural networks and bioinformatics. She is a Chair Professor at the University of Paris-Saclay.

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Isabelle Guyon's Published Works

Number of citations in a given year to any of this author's works

Total number of citations to an author for the works they published in a given year. This highlights publication of the most important work(s) by the author

Published Works

An Introduction to Variable and Feature Selection (2003) (15015)
A training algorithm for optimal margin classifiers (1992) (11660)
Gene Selection for Cancer Classification using Support Vector Machines (2002) (4754)
Signature Verification Using A "Siamese" Time Delay Neural Network (1993) (3143)
Feature Extraction - Foundations and Applications (2006) (1644)
Comparison of learning algorithms for handwritten digit recognition (1995) (668)
Result Analysis of the NIPS 2003 Feature Selection Challenge (2004) (650)
Comparison of classifier methods: a case study in handwritten digit recognition (1994) (645)
A Stability Based Method for Discovering Structure in Clustered Data (2001) (636)
Feature Extraction: Foundations and Applications (Studies in Fuzziness and Soft Computing) (2006) (597)
Learning algorithms for classification: A comparison on handwritten digit recognition (1995) (492)
An Introduction to Feature Extraction (2006) (488)
UNIPEN project of on-line data exchange and recognizer benchmarks (1994) (451)
Handwritten digit recognition: applications of neural network chips and automatic learning (1989) (441)
Taking Human out of Learning Applications: A Survey on Automated Machine Learning (2018) (292)
Clustering: Science or Art? (2009) (284)
Information storage and retrieval in spin-glass like neural networks (1985) (272)
Detecting stable clusters using principal component analysis. (2003) (262)
Discovering Informative Patterns and Data Cleaning (1996) (235)
Automatic Capacity Tuning of Very Large VC-Dimension Classifiers (1992) (235)
ChaLearn Looking at People Challenge 2014: Dataset and Results (2014) (215)
ChaLearn Looking at People RGB-D Isolated and Continuous Datasets for Gesture Recognition (2016) (188)
Multi-modal gesture recognition challenge 2013: dataset and results (2013) (185)
Design of a neural network character recognizer for a touch terminal (1991) (180)
Neural Network Recognizer for Hand-Written Zip Code Digits (1988) (171)
What Size Test Set Gives Good Error Rate Estimates? (1998) (167)
A Survey on Deep Learning Based Approaches for Action and Gesture Recognition in Image Sequences (2017) (158)
ChaLearn LAP 2016: First Round Challenge on First Impressions - Dataset and Results (2016) (157)
Model Selection: Beyond the Bayesian/Frequentist Divide (2010) (157)
A Scaling Law for the Validation-Set Training-Set Size Ratio (1997) (152)
On-line cursive script recognition using time-delay neural networks and hidden Markov models (1994) (148)
ChaLearn Looking at People 2015: Apparent Age and Cultural Event Recognition Datasets and Results (2015) (144)
Design of experiments for the NIPS 2003 variable selection benchmark (2003) (132)
Bayesian Optimization is Superior to Random Search for Machine Learning Hyperparameter Tuning: Analysis of the Black-Box Optimization Challenge 2020 (2021) (131)
Structural Risk Minimization for Character Recognition (1991) (127)
Causal Feature Selection (2007) (125)
The Higgs boson machine learning challenge (2014) (116)
Assessment Methods (2006) (109)
Applications of Neural Networks to Character Recognition (1991) (106)
Analysis of the AutoML Challenge Series 2015-2018 (2019) (104)
Design of the 2015 ChaLearn AutoML challenge (2015) (101)
ChaLearn gesture challenge: Design and first results (2012) (97)
The ChaLearn gesture dataset (CGD 2011) (2014) (97)
ChaLearn Looking at People and Faces of the World: Face AnalysisWorkshop and Challenge 2016 (2016) (97)
Design and Analysis of the Causation and Prediction Challenge (2008) (91)
Competitive baseline methods set new standards for the NIPS 2003 feature selection benchmark (2007) (91)
Results of the Active Learning Challenge (2011) (90)
ChaLearn Joint Contest on Multimedia Challenges Beyond Visual Analysis: An overview (2016) (85)
DATA SETS FOR OCR AND DOCUMENT IMAGE UNDERSTANDING RESEARCH (1997) (85)
Design of a linguistic postprocessor using variable memory length Markov models (1995) (82)
Practical Feature Selection: from Correlation to Causality (2007) (76)
Apparent and Real Age Estimation in Still Images with Deep Residual Regressors on Appa-Real Database (2017) (76)
A brief Review of the ChaLearn AutoML Challenge: Any-time Any-dataset Learning without Human Intervention (2016) (76)
Graph inference datasets. Replication Data for: "Learning Functional Causal Models with Generative Neural Networks" (2017) (75)
Performance Prediction Challenge (2006) (75)
Design and Analysis of the NIPS 2016 Review Process (2017) (73)
Results and Analysis of ChaLearn LAP Multi-modal Isolated and Continuous Gesture Recognition, and Real Versus Fake Expressed Emotions Challenges (2017) (70)
Comparing different neural network architectures for classifying handwritten digits (1989) (68)
Explainable and Interpretable Models in Computer Vision and Machine Learning (2018) (67)
Design and analysis of the KDD cup 2009: fast scoring on a large orange customer database (2009) (67)
A gentle introduction to support vector machines in biomedicine: Volume 1: Theory and methods (2011) (67)
Handwriting Synthesis From Handwritten Glyphs (1996) (60)
Statistical Learning and Kernel Methods in Bioinformatics (2003) (57)
Modeling, Recognizing, and Explaining Apparent Personality From Videos (2018) (56)
Results and Analysis of the ChaLearn Gesture Challenge 2012 (2012) (54)
ChaLearn multi-modal gesture recognition 2013: grand challenge and workshop summary (2013) (53)
Causality: Objectives and Assessment (2008) (52)
Overcoming Calibration Problems in Pattern Labeling with Pairwise Ratings: Application to Personality Traits (2016) (52)
Structural Agnostic Modeling: Adversarial Learning of Causal Graphs (2018) (51)
Multimodal First Impression Analysis with Deep Residual Networks (2018) (50)
The Tracking Machine Learning Challenge: Accuracy Phase (2019) (50)
First Impressions: A Survey on Vision-Based Apparent Personality Trait Analysis (2018) (49)
High-order neural networks: information storage without errors (1987) (48)
Writer-adaptation for on-line handwritten character recognition (1993) (48)
A Gentle Introduction to Support Vector Machines in Biomedicine: Case Studies (2011) (47)
Deep Learning for Action and Gesture Recognition in Image Sequences: A Survey (2017) (46)
Learning to run a power network challenge for training topology controllers (2019) (45)
Challenges in multimodal gesture recognition (2016) (43)
A Case Study in Handwritten Digit Recognition (1994) (42)
Challenges in Multi-modal Gesture Recognition (2017) (41)
Causal Generative Neural Networks (2017) (41)
Generation and evaluation of privacy preserving synthetic health data (2020) (41)
Agnostic Learning vs. Prior Knowledge Challenge (2007) (40)
An automated, sheathless capillary electrophoresis‐mass spectrometry platform for discovery of biomarkers in human serum (2005) (40)
An application of neural net chips: handwritten digit recognition (1988) (39)
Introducing machine learning for power system operation support (2017) (38)
Computer aided cleaning of large databases for character recognition (1992) (38)
First Impressions: A Survey on Computer Vision-Based Apparent Personality Trait Analysis (2018) (38)
Graph Neural Solver for Power Systems (2019) (38)
Design of an explainable machine learning challenge for video interviews (2017) (38)
Principal motion components for one-shot gesture recognition (2017) (38)
Multi-Modal Face Anti-Spoofing Attack Detection Challenge at CVPR2019 (2019) (37)
Neural networks for power flow: Graph neural solver (2020) (36)
Recognition-Based Segmentation of On-Line Hand-Printed Words (1992) (35)
Unsupervised and transfer learning challenge (2011) (35)
ChaLearn Looking at People 2015 challenges: Action spotting and cultural event recognition (2015) (34)
ChaLearn looking at people: A review of events and resources (2017) (33)
Learning to discover: the Higgs boson machine learning challenge (2014) (32)
SAM: Structural Agnostic Model, Causal Discovery and Penalized Adversarial Learning (2018) (32)
NeurIPS 2020 Competition: Predicting Generalization in Deep Learning (2020) (31)
Privacy Preserving Synthetic Health Data (2019) (30)
WANDA: A generic Framework applied in Forensic Handwriting Analysis and Writer Identification (2003) (30)
Writer independent and writer adaptive neural network for on-line character recognition (1992) (29)
OVERVIEW AND SYNTHESIS OF ON-LINE CURSIVE HANDWRITING RECOGNITION TECHNIQUES (1997) (27)
Benchmarking in cluster analysis: A white paper (2018) (27)
CSMMI: Class-Specific Maximization of Mutual Information for Action and Gesture Recognition (2014) (26)
Capacity control in linear classifiers for pattern recognition (1992) (26)
Recognition-based segmentation of on-line run-on handprinted words: Input vs. output segmentation (1994) (26)
Analysis of the IJCNN 2007 agnostic learning vs. prior knowledge challenge (2008) (26)
A biologically constrained learning mechanism in networks of formal neurons (1986) (26)
Learning to run a Power Network Challenge: a Retrospective Analysis (2021) (25)
Multivariate Non-Linear Feature Selection with Kernel Multiplicative Updates and Gram-Schmidt Relief (2003) (25)
Advances in pattern recognition systems using neural network technologies (1994) (25)
COMPARISON OF LEARNING ALGORITHMS FOR (1995) (23)
Towards AutoML in the presence of Drift: first results (2018) (21)
Fast Power system security analysis with Guided Dropout (2017) (21)
Winning the KDD Cup Orange Challenge with Ensemble Selection (2009) (20)
Neural networks and applications tutorial (1991) (19)
WANDA: A common ground for forensic handwriting examination and writer identification (2004) (19)
Design and Analysis of the NIPS2003 Challenge (2006) (19)
PerformancePrediction Challenge (2006) (17)
Visualizing Apparent Personality Analysis with Deep Residual Networks (2017) (17)
The ATLAS Higgs Boson Machine Learning Challenge (2014) (15)
Assessing privacy and quality of synthetic health data (2019) (15)
Cause Effect Pairs in Machine Learning (2019) (14)
Medical Time-Series Data Generation Using Generative Adversarial Networks (2020) (14)
Multivariate Non-Linear Feature Selection with Kernel Methods (2005) (14)
L2RPN: Learning to Run a Power Network in a Sustainable World NeurIPS2020 challenge design (2020) (14)
Towards Automated Deep Learning: Analysis of the AutoDL challenge series 2019 (2019) (13)
Optical Character Recognition and Neural-Net Chips (1990) (13)
Pattern classification (1998) (13)
Anticipating contingengies in power grids using fast neural net screening (2018) (12)
Synthetic Event Time Series Health Data Generation (2019) (12)
A Four-Gene Expression Signature for Prostate Cancer Cells Consisting of UAP1, PDLIM5, IMPDH2, and HSPD1 (2009) (12)
Hardware requirements for neural-net optical character recognition (1990) (12)
The Problem of Fairness in Synthetic Healthcare Data (2021) (12)
ChaLearn looking at people 2015 new competitions: Age estimation and cultural event recognition (2015) (12)
A Gentle Introduction to Support Vector Machines in Biomedicine:Volume 2: Case Studies and Benchmarks (2012) (11)
ActivMetal: Algorithm Recommendation with Active Meta Learning (2018) (11)
Winning Solutions and Post-Challenge Analyses of the ChaLearn AutoDL Challenge 2019 (2020) (11)
The Tracking Machine Learning Challenge: Throughput Phase (2021) (11)
Hands-On Pattern Recognition: Challenges in Machine Learning, volume 1 (2011) (11)
First Connectomics Challenge: From Imaging to Connectivity (2015) (11)
ChaLearn Looking at People: IsoGD and ConGD Large-Scale RGB-D Gesture Recognition (2019) (11)
A time delay neural network character recognizer for a touch terminal (1990) (11)
Principal motion components for gesture recognition using a single-example (2013) (10)
AutoML @ NeurIPS 2018 challenge: Design and Results (2019) (10)
Principal motion: PCA-based reconstruction of motion histograms (2012) (10)
AutoCV Challenge Design and Baseline Results (2019) (10)
Support Vector Regression (SVR) (2011) (10)
Neural Network Design for Efficient Information Retrieval (1986) (10)
Track reconstruction at LHC as a collaborative data challenge use case with RAMP (2017) (10)
ChaLearn LAP Challenges on Self-Reported Personality Recognition and Non-Verbal Behavior Forecasting During Social Dyadic Interactions: Dataset, Design, and Results (2021) (10)
Automatic Machine Learning (AutoML) (2015) (9)
Methods and Analysis of The First Competition in Predicting Generalization of Deep Learning (2020) (9)
Neural Network Implementation of Admission Control (1990) (9)
Improving Variational Autoencoders with Inverse Autoregressive Flow (2016) (9)
The TrackML Particle Tracking Challenge (2018) (9)
Biases in feature selection with missing data (2019) (9)
Neural Connectomics Challenge (2017) (9)
Optimization of computational budget for power system risk assessment (2018) (9)
LEAP nets for power grid perturbations (2019) (8)
AgEBO-Tabular: Joint Neural Architecture and Hyperparameter Search with Autotuned Data-Parallel Training for Tabular Data (2020) (8)
Didn't see that coming: a survey on non-verbal social human behavior forecasting (2022) (8)
High Order Neural Networks for Efficient Associative Memory Design (1987) (8)
Adversarial learning to eliminate systematic errors: a case study in High Energy Physics (2017) (8)
Deep Statistical Solvers (2020) (8)
Penacée: A Neural Net System for Recognizing On-Line Handwriting (1996) (8)
Guest Editorial: Apparent Personality Analysis (2018) (7)
Towards automated computer vision: analysis of the AutoCV challenges 2019 (2020) (7)
TrackML: A High Energy Physics Particle Tracking Challenge (2018) (7)
LEAP nets for system identification and application to power systems (2020) (7)
Overview of the Multimedia Information Processing for Personality & Social Networks Analysis Contest (2018) (7)
Design of the first neuronal connectomics challenge: From imaging to connectivity (2014) (7)
The TrackML high-energy physics tracking challenge on Kaggle (2019) (7)
AutoDL Challenge Design and Beta Tests-Towards automatic deep learning (2018) (7)
Advances in Recommender Systems: From Multi-stakeholder Marketplaces to Automated RecSys (2020) (7)
Advances in MetaDL: AAAI 2021 challenge and workshop (2022) (6)
Guest Editorial: The Computational Face (2018) (6)
Lessons learned from the NeurIPS 2021 MetaDL challenge: Backbone fine-tuning without episodic meta-learning dominates for few-shot learning image classification (2022) (6)
Design and analysis of the WCCI 2010 active learning challenge (2010) (6)
AutoML Challenge 2015: Design and First Results (2015) (6)
Systematics aware learning : a case study in high energy physics (2018) (6)
Designing a neural network satisfying a given set of constraints (1987) (6)
ICML2011 Unsupervised and Transfer Learning Workshop (2011) (6)
Synthesizing Quality Open Data Assets from Private Health Research Studies (2020) (6)
Time Series Analysis with the Causality Workbench (2009) (5)
Engineering applications of spin glass concepts (1987) (5)
Les machines neuronales (1988) (5)
The WANDAML markup language for digital document annotation (2004) (5)
Lessons learned from the AutoML challenge (2018) (5)
Learning Cloth Dynamics: 3D+Texture Garment Reconstruction Benchmark (2020) (5)
Systematic aware learning (2019) (4)
The TrackML challenge (2018) (4)
ChaLearn Looking at People: Events and Resources (2017) (4)
How machine learning won the Higgs boson challenge (2016) (4)
Handwriting as computer interface (1997) (4)
MetaREVEAL: RL-based Meta-learning from Learning Curves (2021) (4)
The Tracking Machine Learning Challenge (2016) (4)
Learning by Doing: Controlling a Dynamical System using Causality, Control, and Reinforcement Learning (2022) (3)
ChaLearn Looking at People: Inpainting and Denoising challenges (2021) (3)
Causation and Prediction Challenge: Challenges in Machine Learning, volume 2 (2010) (3)
Model Selection for SVMs (2011) (3)
NIPS 2014 Workshop on High-energy Physics and Machine Learning (2015) (3)
Comparison of Spatio-Temporal Models for Human Motion and Pose Forecasting in Face-to-Face Interaction Scenarios (2022) (3)
Results of the Cause-Effect Pair Challenge (2019) (3)
CLOP: a Matlab Learning Object Package (2007) (3)
Quantifying Resemblance of Synthetic Medical Time-Series (2021) (3)
The 2009 Knowledge Discovery and Data Mining Competition (KDD Cup 2009): Challenges in Machine Learning (2011) (3)
OmniPrint: A Configurable Printed Character Synthesizer (2022) (3)
Analysis of the IJCNN 2011 UTL challenge (2012) (3)
Looking at People Special Issue (2018) (3)
Demonstrations and live evaluation for the gesture recognition challenge (2011) (3)
A simple selectionist learning rule for neural networks (1987) (2)
AutoML Meets Time Series Regression Design and Analysis of the AutoSeries Challenge (2021) (2)
SVMs for Multi-Category Classification (2011) (2)
Of points and loops (1988) (2)
Aircraft Numerical “Twin”: A Time Series Regression Competition (2021) (2)
Learning Bivariate Functional Causal Models (2019) (2)
Support Vector Machines (SVMs) for Binary Classification: Classical Formulation (2011) (2)
Asymptotic Analysis of Meta-learning as a Recommendation Problem (2021) (2)
Discriminant Learning Machines (2019) (2)
Data cleaning algorithms with applications to micro-array experiments (2001) (2)
Learning To Run a Power Network Competition (2018) (2)
Neural Networks for Associative Memory Design (1987) (2)
Guest Editorial: Image and Video Inpainting and Denoising (2020) (1)
Proceedings of the 2014 International Conference on High-Energy Physics and Machine Learning - Volume 42 (2014) (1)
Teaching machine learning from examples (2006) (1)
Understanding Social Behavior in Dyadic and Small Group Interactions: Preface (2021) (1)
Editorial: special issue on computational intelligence for vision and robotics (2017) (1)
Pot-luck challenge: FACT SHEET (2009) (1)
NeurIPS'22 Cross-Domain MetaDL competition: Design and baseline results (2022) (1)
Codabench: Flexible, easy-to-use, and reproducible meta-benchmark platform (2021) (1)
Development Projects for the CausalityWorkbench (2010) (1)
Investigating synthetic medical time-series resemblance (2022) (1)
Compression-Based Averaging of Selective Naive Bayes Classifiers (2007) (1)
Evaluation Methods of Cause-Effect Pairs (2019) (1)
Proceedings of the 12th International Conference on Neural Information Processing Systems (NIPS)Mini-Symposium on Causality in Time Series (2009) (1)
Weighted Classication Cascades for Optimizing Discovery Signicance in the HiggsML Challenge (2015) (1)
A Gentle Introduction to Support Vector Machines in Biomedicine: Volume 1: Theory and MethodsVolume 2: Case Studies and Benchmarks (2013) (1)
Development Projects for the Causality Workbench (2010) (1)
Basic Principles of Statistical Machine Learning (2011) (1)
Latent Surgical Interventions in Residual Neural Networks (2018) (1)
Methods Used in this Book (2013) (0)
Codabench: Flexible, Easy-to-Use and Reproducible Benchmarking for Everyone (2021) (0)
Wanda ML - a markup language for digital annotation (2004) (0)
Application and Comparison of SVMs and Other Methods for Retrieving High-Quality Content-Specific Articles (Contributed by Yindalon Aphinyanaphongs) (2013) (0)
Using SVMs for Causal Variable Selection (2013) (0)
Design and Analysis of Experiments: A Challenge Approach in Teaching (2019) (0)
Novelty Detection with SVM-Based Methods (2011) (0)
Expert systems: Special issue on “Machine Learning Methods Neural Networks applied to Vision and Robotics (MLMVR)” (2018) (0)
Comparison of SVMs and Random Forests for Microarray-Based Cancer Classification (2013) (0)
Application and Comparison of SVM-RFE and GLL Methods for Variable Selection for Classification (2013) (0)
Analysis of imputation bias for feature selection with missing data (2018) (0)
LTU Attacker for Membership Inference (2022) (0)
Application to Modeling Clinical Judgment and Guideline Compliance in the Diagnosis of Melanoma (Contributed by Andrea Sboner) (2013) (0)
Application to Assessment of Plasma Proteome Stability (2013) (0)
Principal motion components for one-shot gesture recognition (2015) (0)
Lawrence Berkeley National Laboratory Recent Work Title The Tracking Machine Learning Challenge : Accuracy Phase Permalink (2019) (0)
COMPARISONOFLEARNING ALGORITHMS FORHANDWRITTEN DIGIT RECOGNITION (1995) (0)
Judging competitions and benchmarks: a candidate election approach (2021) (0)
UvA-DARE (Digital Academic Repository) Causal Effect Inference with Deep Latent-Variable Models Causal Effect Inference with Deep Latent-Variable Models (2017) (0)
Filtering participants improves generalization in competitions and benchmarks (2022) (0)
Application to Predicting Future Article Citations (Contributed by Lawrence Fu) (2013) (0)
Design and preliminary evaluation of team based competitions in video forecasting (2017) (0)
of the 2015 ChaLeam AutoML Challenge (2015) (0)
Meta-Album: Multi-domain Meta-Dataset for Few-Shot Image Classification (2023) (0)
TrackML : a tracking Machine Learning challenge (2019) (0)
Application to Predicting Clinical Laboratory Values (2013) (0)
Application and Comparison of SVMs and Other Methods for Multicategory Microarray-Based Cancer Classification (2013) (0)
DECONbench: a benchmarking platform dedicated to deconvolution methods for tumor heterogeneity quantification (2021) (0)
WCCI 2018 TrackML Particle Tracking Challenge (2018) (0)
UvA-DARE (Digital Academic Repository) Causal Effect Inference with Deep Latent-Variable Models (2017) (0)
Application to Classifying Instrumentality of Article Citations (Contributed by Lawrence Fu) (2013) (0)
From geospatial observations of ocean currents to causal predictors of spatio-economic activity using computer vision and machine learning (2016) (0)
New prostate cancer biomarkers validated by independent studies (2006) (0)
Support Vector Clustering (2011) (0)
JMLR Workshop and Conference Proceedings: Volume 6 (2008) (0)
Proceedings of the 2011 International Conference on KDD Cup 2011 - Volume 18 (2009) (0)
SVM-Based Variable Selection (2011) (0)
Computing Posterior Class Probabilities for SVM Classifiers (2011) (0)
UvA-DARE (Digital Academic Repository) Ancestral Causal Inference (2017) (0)
Introduction and Book Overview (2013) (0)
CSMMI: class-specific maximization of mutual information for action and gesture recognition. (2014) (0)
Application and Comparison of SVMs and Other Methods for Identifying Drug–Drug Interactions-Related Literature (Contributed by Stephany Duda) (2013) (0)
Meta-learning from Learning Curves Challenge: Lessons learned from the First Round and Design of the Second Round (2022) (0)
Meta-learning from Learning Curves: Challenge Design and Baseline Results (2022) (0)
Book Review (2014) (0)
Bridging the Gap of AutoGraph Between Academia and Industry: Analyzing AutoGraph Challenge at KDD Cup 2020 (2022) (0)
Application and Comparison of SVMs and Other Methods for Identifying Unproven Cancer Treatments on the Web (Contributed by Yindalon Aphinyanaphongs) (2013) (0)
Differentially private Bayesian learning on distributed data Heikkila (0)
Reinforcement learning for Energies of the future and carbon neutrality: a Challenge Design (2022) (0)
Looking at People Special Issue (2018) (0)
Editorial: special issue on computational intelligence for vision and robotics (2016) (0)
Application and Comparison of SVMs and Other Methods for Multicategory Classification in Microbiomics (Contributed by Mikael Henaff, Kranti Konganti, Varun Narendra, Alexander V. Alekseyenko) (2013) (0)
Necessary Mathematical Concepts (2011) (0)
Proceedings of the 2008th International Conference on Causality: Objectives and Assessment - Volume 6 (2008) (0)
Asynchronous Distributed Bayesian Optimization at HPC Scale (2022) (0)
Robust deep learning: A case study (2017) (0)
Bayesian Compression for Deep Learning (2017) (0)
HARDWARE FOR NEURAL-NET OPTICAL CHARACTER RECOGNITION (1990) (0)
Comparison of SVMs and Kernel Ridge Regression for Microarray-Based Cancer Classification (Contributed by Zhiguo Li) (2013) (0)
Tracking at LHC as a collaborative data challenge use case with RAMP (2017) (0)
Causality: Objectives and Assessment Challenges in Machine Learning, volume 4 (2012) (0)
The ChaLearn gesture dataset (CGD 2011) (2014) (0)
TrackML: a LHC Tracking Machine Learning Challenge (2016) (0)
NeurIPS 2018 challenge : Design and Results ∗ (2019) (0)

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Isabelle Guyon's AcademicInfluence.com Rankings